{"total":15,"rows":[{"id":"2502.20897","title":"Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals' Subjective Text Perceptions","created":"2025-02-28","cited_by_count":33,"area":null},{"id":"2405.19022","title":"Towards Standardizing AI Bias Exploration","created":"2024-05-29","cited_by_count":5,"area":null},{"id":"2405.20790","title":"Intersectional Unfairness Discovery","created":"2024-05-31","cited_by_count":5,"area":null},{"id":"2402.10756","title":"Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering","created":"2024-02-16","cited_by_count":4,"area":null},{"id":"2310.13746","title":"FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning","created":"2023-10-20","cited_by_count":2,"area":null},{"id":"2311.12435","title":"Fair Enough? A map of the current limitations of the requirements to have fair algorithms","created":"2023-11-21","cited_by_count":2,"area":null},{"id":"2502.01267","title":"Counterfactual Situation Testing: From Single to Multidimensional Discrimination","created":"2025-02-03","cited_by_count":2,"area":null},{"id":"2306.11112","title":"Correcting Underrepresentation and Intersectional Bias for Classification","created":"2023-06-19","cited_by_count":1,"area":null},{"id":"2401.01262","title":"Fairness Certification for Natural Language Processing and Large Language Models","created":"2024-01-02","cited_by_count":1,"area":null},{"id":"2505.00830","title":"Intersectional Divergence: Measuring Fairness in Regression","created":"2025-05-01","cited_by_count":1,"area":null},{"id":"2509.08156","title":"MMM-fair: An Interactive Toolkit for Exploring and Operationalizing Multi-Fairness Trade-offs","created":"2025-09-09","cited_by_count":1,"area":null},{"id":"2509.12104","title":"JustEva: A Toolkit to Evaluate LLM Fairness in Legal Knowledge Inference","created":"2025-09-15","cited_by_count":1,"area":null},{"id":"2406.18939","title":"Evaluating AI Group Fairness: a Fuzzy Logic Perspective","created":"2024-06-27","cited_by_count":0,"area":null},{"id":"2501.12962","title":"It's complicated. The relationship of algorithmic fairness and non-discrimination provisions for high-risk systems in the EU AI Act","created":"2025-01-22","cited_by_count":0,"area":null},{"id":"2510.23507","title":"A Deep Latent Factor Graph Clustering with Fairness-Utility Trade-off Perspective","created":"2025-10-27","cited_by_count":0,"area":null}],"next_cursor":null}